VDB-230339 · CVE-2023-29739 · EUVD-2023-33277

Alarm Clock for Heavy Sleepers App 5.3.2 on Android Local Privilege Escalation

CVSS Meta Temp Score CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.	Current Exploit Price (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	CTI Interest Score Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.5	$0-$5k	0.00

Summaryinfo

A vulnerability marked as problematic has been reported in Alarm Clock for Heavy Sleepers App 5.3.2 on Android. Affected is an unknown function. The manipulation leads to an unknown weakness. This vulnerability is traded as CVE-2023-29739. An attack has to be approached locally. There is no exploit available.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in Alarm Clock for Heavy Sleepers App 5.3.2 on Android (Android App Software). Impacted is confidentiality, integrity, and availability. The summary by CVE is:

An issue found in Alarm Clock for Heavy Sleepers v.5.3.2 for Android allows unauthorized apps to cause escalation of privilege attacks by manipulating the component.

The weakness was shared 05/31/2023. The identification of this vulnerability is CVE-2023-29739 since 04/07/2023. The technical details are unknown and an exploit is not publicly available.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2023-33277). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Android App Software

Name

Alarm Clock for Heavy Sleepers App

Version

5.3.2

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

AV	AC	Au	C	I	A
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳

Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock

VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Local Privilege Escalation
CWE: Unknown
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

0-Day	Unlock	Unlock	Unlock	Unlock
Today	Unlock	Unlock	Unlock	Unlock

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

04/07/2023 🔍
05/31/2023 +54 days 🔍
05/31/2023 +0 days 🔍
12/14/2025 +928 days 🔍

Sourcesinfo

Advisory: amdroidapp.com
Status: Not defined

CVE: CVE-2023-29739 (🔍)
GCVE (CVE): GCVE-0-2023-29739
GCVE (VulDB): GCVE-100-230339
EUVD: 🔍
scip Labs: https://www.scip.ch/en/?labs.20130704

Entryinfo

Created: 05/31/2023 10:00
Updated: 12/14/2025 02:42
Changes: 05/31/2023 10:00 (35), 06/25/2023 02:24 (1), 06/25/2023 02:32 (11), 12/14/2025 02:42 (15)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.